def calc(self, priceable: Priceable, risk_measure: Union[RiskMeasure, Iterable[RiskMeasure]])\
-> Union[list, DataFrameWithInfo, ErrorValue, FloatWithInfo, Future, MultipleRiskMeasureFuture,
SeriesWithInfo]:
"""
Calculate the risk measure for the priceable instrument. Do not use directly, use via instruments
:param priceable: The priceable (e.g. instrument)
:param risk_measure: The measure we wish to calculate
:return: A float, Dataframe, Series or Future (depending on is_async or whether the context is entered)
**Examples**
>>> from gs_quant.instrument import IRSwap
>>> from gs_quant.risk import IRDelta
>>>
>>> swap = IRSwap('Pay', '10y', 'USD', fixed_rate=0.01)
>>> delta = swap.calc(IRDelta)
"""
position = RiskPosition(priceable, priceable.get_quantity())
multiple_measures = not isinstance(risk_measure, RiskMeasure)
futures = {}
active_context_lock = self.__active_context.__lock if self.__active_context != self else nullcontext(
)
with self.__lock, active_context_lock:
for measure in risk_measure if multiple_measures else (
risk_measure, ):
scenario = self.__scenario
measure_future = self.__active_context.__futures.get(
(scenario, measure), {}).get(position)
if measure_future is None:
measure_future = PricingFuture(self.__active_context)
if self.__use_cache:
cached_result = PricingCache.get(
priceable, risk_measure)
if cached_result:
measure_future.set_result(cached_result)
if not measure_future.done():
self.__risk_measures_in_scenario_by_provider_and_position.setdefault(
priceable.provider(),
{}).setdefault(position,
{}).setdefault(scenario,
set()).add(measure)
self.__active_context.__futures.setdefault(
(scenario, measure), {})[position] = measure_future
futures[measure] = measure_future
future = MultipleRiskMeasureFuture(futures, result_future=PricingFuture(self.__active_context))\
if multiple_measures else futures[risk_measure]
if not (self.is_entered or self.__is_async):
if not future.done():
self._calc()
return future.result()
else:
return future
def calc(self, priceable: Priceable, risk_measure: Union[RiskMeasure, Iterable[RiskMeasure]])\
-> Union[dict, float, str, pd.DataFrame, pd.Series, Future]:
"""
Calculate the risk measure for the priceable instrument. Do not use directly, use via instruments
:param priceable: The priceable (e.g. instrument)
:param risk_measure: The measure we wish to calculate
:return: A float, Dataframe, Series or Future (depending on is_async or whether the context is entered)
**Examples**
>>> from gs_quant.instrument import IRSwap
>>> from gs_quant.risk import IRDelta
>>>
>>> swap = IRSwap('Pay', '10y', 'USD', fixed_rate=0.01)
>>> delta = swap.calc(IRDelta)
"""
from gs_quant.risk.results import MultipleRiskMeasureFuture
position = RiskPosition(priceable, priceable.get_quantity())
multiple_measures = not isinstance(risk_measure, RiskMeasure)
futures = {}
for measure in risk_measure if multiple_measures else (risk_measure, ):
measure_future = self.__futures.get(measure, {}).get(position)
if measure_future is None:
measure_future = Future()
if self.__use_cache:
cached_result = PricingCache.get(priceable,
self.market_data_location,
risk_measure,
self.pricing_date)
if cached_result:
measure_future.set_result(cached_result)
if not measure_future.done():
self.__risk_measures_by_provider_and_position.setdefault(
priceable.provider(),
{}).setdefault(position, set()).add(measure)
self.__futures.setdefault(measure,
{})[position] = measure_future
futures[measure] = measure_future
future = MultipleRiskMeasureFuture(
futures) if multiple_measures else futures[risk_measure]
if not (self._is_entered or self.__is_async):
if not future.done():
self._calc()
return future.result()
else:
return future